Job Opportunities API

We are looking for a Cloud/DevOps Engineering Lead with +8 years of experience to join our Data and Analytics team in our Digital Campus in Porto. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Work on a large-scale AI-assisted SAP migration and data modernization program. Become the go-to person for cloud, DevOps, hybrid infrastructure, deployment automation, monitoring, and operational readiness. Lead the setup of secure cloud and on-premise integration patterns for SAP migration, AI factory execution, data platform delivery, and BI consumption. Work closely with SAP, AI, Data Engineering, BI, Security, Governance, and Business teams to enable reliable end-to-end delivery. Contribute to the implementation of secure environments, CI/CD pipelines, monitoring, cost control, resilience, and production support processes. Become part of a fast-growing international and diverse team. What you will do Lead the CloudOps and DevOps workstream for an AI-assisted SAP migration and modern data platform program. Design and implement secure cloud, hybrid, and on-premise integration patterns required for SAP migration, AI automation, data engineering, BI, and governance use cases. Define the DevOps roadmap, operational model, deployment standards, monitoring approach, and platform readiness plan. Lead the setup of CI/CD pipelines, release processes, branching strategies, environment promotion, automated testing integration, and deployment controls. Support implementation of infrastructure-as-code patterns for cloud services, networking, security, compute, storage, monitoring, and platform components. Enable secure connectivity between cloud platforms and on-premise SAP systems, data sources, file shares, schedulers, APIs, and enterprise infrastructure. Work with SAP teams to support connectivity, orchestration, batch scheduling, data extraction, delta loads, secure file transfer, and operational dependencies. Work with AI teams to provide secure execution environments for AI agents, automation services, APIs, backend components, model integrations, logging, monitoring, and cost tracking. Work with Data Engineering teams to support deployment of data pipelines, lakehouse components, data quality frameworks, metadata workflows, and reconciliation services. Work with BI teams to support Power BI / Fabric workspace setup, gateway configuration, deployment pipelines, access management, and report release processes. Define and implement monitoring, alerting, logging, incident management, service health checks, operational dashboards, and runbooks. Support hybrid operations across cloud and on-premise environments, including network dependencies, firewall rules, gateways, private endpoints, identity, certificates, and secure access patterns. Implement access controls, secrets management, identity integration, service principals, managed identities, RBAC, and least-privilege operating models. Support security reviews, architecture reviews, compliance checks, audit evidence collection, and operational risk mitigation. Define resilience, backup, disaster recovery, high availability, rollback, and cutover support patterns. Lead platform readiness